DistillerSR Lunch & Learn Evidence Management Best Practices
Join us on June 18 at 11 am EDT for a special session to learn more about how to establish an effective evidence management strategy and the impact of data reuse on overcoming technical, regulatory, and organizational challenges.
Agenda – June 18 at 11am EDT
Introduction
Peter O’Blenis, CEO at DistillerSR
AI/ML Product Roadmap Updates
Rushdi Shams, Senior Machine Learning Engineer at DistillerSR
Evidence Management Best Practices
The Case for Data Reuse
- Nicole LeDrew, Solution Engineer at DistillerSR
- Sepanta Fazaeli, Medical Systems & Clinical Data Lead
When & Why to Deploy AI
- Peter O’Blenis, CEO at DistillerSR
- Nicole LeDrew, Solution Engineer at DistillerSR
- Kyle Bayliss, Account Executive at DistillerSR
Live Q&A
Key Learning Objectives
- Consolidate all evidence into a single, centralized location for easy access and streamlined management.
- Implement access controls to regulate data access, fostering collaboration while safeguarding sensitive information.
- Develop a company-wide strategy to encourage the reuse of existing data, minimizing duplication of effort and enhancing efficiency.
- Establish uniform procedures for evidence collection and review to ensure consistency and accuracy throughout the process.
- Explore real-world examples of successful data reuse and their impact on regulatory submissions and time to market.
Register for the Session
“We just started testing out CuratorCR, and we believe upwards of 50% of the literature review work will already be completed when we move from one legacy device to another — the device application and the outcomes to be monitored will be distinct, but the reference data pool will largely be the same. Mentally speaking, it will be a game changer to start a new literature review knowing a significant portion of the work has already been completed,”
